Create apps that accelerate, enhance, and scale the human expertise.
This is the first in a series of blog posts about open source technology and artificial intelligence at IBM. In this blog, we identify two mega-trends and then zero in on IBM developer outreach efforts around code, content, and community. Future blogs will focus on IBM research and IBM product team efforts. The AI mega-trend: Your data is becoming your AI. This is a good thing. Eventually, your AI will truly augment your intelligence, and help you become more creative and productive both at work and on personal tasks. However, we still have a long way to go to fully…
Dec 12, 2018
Apache SparkArtificial Intelligence+
Blog
Our present to you: Become an IBM Advanced Certified Data Scientist for free
Win a drone. Program a drone. Change the world.
Code Pattern
Create a cognitive banking chatbot
Article
IBM’s approach to open technology
Workshop
Dec25
Tel-Aviv
Jan6
Conference
Jan8
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Announcement Nov 05, 2018
Announcement Nov 02, 2018
Announcement Nov 01, 2018
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Featured | Code Pattern
Nov 27, 2018
Artificial IntelligenceData Science+
Build an app that classifies various consumer complaint support tickets by using the Watson Natural Language Classification service.
Featured | Article
Artificial IntelligenceCloud+
Learn how Watson is able to provide AI insights from a diversity of data sources. Instead of reading, watching, and drawing links to statistics, fantasy football managers can use the fused AI insights for precise, oriented player predictions and score projections.
Tutorial
Dec 14, 2018
Build a model that detects signature fraud by building a deep neural network. You will learn how to use Watson Studio's Neural Network Modeler to quickly prototype an architecture and test it. You will also learn how to download the code generated from Neural Network Modeler and plug it in…
Artificial IntelligenceVision
Use drone aerial images, Watson Studio, and Watson Visual Recognition to survey wildfire-damaged neighborhoods and identify burned homes and intact homes.
Dec 13, 2018
Use Tone Analyzer to analyze emotions and tones in what people write online, like tweets or reviews or customer service information, and then predict whether they are happy, sad, confident, and more.
For the 2018 Call for Code challenge, team Dashing Communicators linked old tech to new when natural disaster strikes.
Artificial IntelligenceJupyter notebook+
Create a data mart for Watson Machine Learning deployments and include steps for performance, bias, and quality monitor configurations.
Quickly and accurately tag, classify, and train visual content using machine learning. Use this Code Pattern to provision a Visual Recognition Service that you can create a custom model with or use one of the demos provided in Watson Studio.
Announcing the new Applied AI Coder experience
Deployable
Artificial IntelligenceDocker+
Recognize and extract faces in an image and complete the corrupted portions.
Detect humans in an image and estimate the pose for each person.
Video
Dec 11, 2018
Artificial Intelligence
Use a trained PyTorch model to predict handwritten numbers from images
Artificial IntelligenceWatson Studio
Get started with Machine Learning and AI in this three part series.
Dec 10, 2018
Learn how to install PyTorch from source on Power platforms.
Dec 09, 2018
Artificial IntelligenceContainers+
These labs are an introduction on how to use Docker containers on Kubernetes in the IBM Cloud Kubernetes Service. By the final lab, you'll achieve an understanding of Kubernetes, how to build a Docker image and deploy it via Kubernetes, control application deployments, add AI services to extend your app,…
Dec 07, 2018
Learn how to install CUDA and cuDNN on Power platforms.
Dec 06, 2018
Hear about Tanmay's journey from a conventional application programmer to machine learning developer.
Dec 05, 2018
Having freedom of choice with programming languages, tools, and frameworks improves creative thinking and evolvement.
Artificial IntelligenceMobile Development+
Use Watson services deployed to an iPhone with ARKit to have a voice-powered animated avatar in Unity.
Visual evidential foundations create comprehensive opinion pieces for you to select your roster spots.
Nov 30, 2018
Explore Wikidata through its web API in preparation for using its rich, public domain resources in your own work.
Nov 29, 2018
Learn how one team developed algorithms to automatically identify tissues from big whole-slide images.
AnalyticsApache Spark+
Get highlights on the latest Apache Spark v2.4.0 release.
Nov 28, 2018
Need to publish your bot to the channels where your customers go for help? Use a managed integration to surface Watson Assistant through a Slack app.
The extended reach of ESPN Fantasy Football with Watson can help you sift through evidential insights from any corner of the world.
Nov 20, 2018
Gather data from Wikidata on countries and attempt a clustering algorithm on the result.
Nov 19, 2018
The scientific process of training and evaluating the machine learning pipeline creates highly accurate predictions to help you win.
AnalyticsArtificial Intelligence+
Build a handwritten digit recognizer in IBM Watson Studio and PyTorch
Nov 16, 2018
Artificial IntelligenceConversation+
Use Watson Assistant, Watson Speech to Text, and Watson text-to-speech deployed to an iPhone with ARKit to have a voice-powered animated avatar in Unity.
Series
Nov 15, 2018
Artificial IntelligencePython
Look at how to use Python, NumPy, and scikit-image for tissue segmentation in whole-slide images.
Nov 13, 2018
Artificial IntelligenceNatural Language Processing
Watson Natural Language Classifier is the fastest way for you to build custom text classifiers and integrate them into your solutions
Use anonymous patient data to predict the best drug to treat heart disease. This notebook introduces commands for getting data, building the model, model deployment, and scoring.
Nov 12, 2018
IBM Developer is giving away 1,500 DJI Tello drones, along with the tools needed to program them, to select winners.
Learn about the emerging standards to make the deployment of machine learning models easier
Nov 10, 2018
ESPN and IBM have teamed up to bring a new level of insight to fantasy football team owners: Watson AI. #FantasyFootballFace.
Nov 08, 2018
Use a data asset in Watson Studio's auto model builder GUI to build, train, and deploy a machine learning model (without code) in under 10 minutes.
Artificial IntelligenceBlockchain+
With facial recognition and blockchain, shared bank account access is provided to loved ones during a disaster.
Nov 07, 2018
Use IBM Watson Studio to solve a business problem and predict customer churn using a Telco customer churn data set.
Nov 06, 2018
Artificial IntelligenceIoT
In this live coding event, John Walicki walks through the code you can fork and deploy for yourself to use drone aerial images, Watson Studio, and Watson Visual Recognition to survey neighborhoods and countrysides.
Artificial IntelligenceMachine Learning+
When fans watch a sports match nowadays, they toggle between social media and other messaging apps. This distraction has led to fans watching a greater number of games, but less of each game.B Learn how Trenity built Centify to enable digital media platforms to integrate social reactions with video or…
Nov 05, 2018
This code pattern demonstrates how data scientists can leverage IBM Watson Studio Local to automate the building and training of a machine learning model to classify wines.
Artificial IntelligenceDeep Learning+
Learn how England Rugby used Watson Personality Insights to create a compelling and engaging way for their fans to get a step closer to the action.
Nov 01, 2018
Combine Watson Assistant and the IBM Cloud Kubernetes service to get 24/7 customer engagement for your teams.
Oct 31, 2018
Artificial IntelligenceVirtual Reality
Unite LA had a little something for everyone.
Locate and tag named entities in text.
Oct 30, 2018
Learn how TensorFlow and PyTorch compare against each other using convolutional neural networks as an example for image training using a Resnet-50 model.
Develop, Train, and Deploy Spam Filter Model on Hortonworks Data Platform using Watson Studio Local
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